Construction of New Generalizations of Wynn's Epsilon and Rho Algorithm by Solving Finite Difference Equations in the Transformation Order
For researchers in numerical analysis, this provides new tools for accelerating convergence, though the improvements are incremental.
The authors construct new sequence transformations generalizing Wynn's epsilon and rho algorithms, which include existing algorithms as special cases, and demonstrate their effectiveness on convergent and divergent sequences.
We construct new sequence transformations based on Wynn's epsilon and rho algorithms. The recursions of the new algorithms include the recursions of Wynn's epsilon and rho algorithm and of Osada's generalized rho algorithm as special cases. We demonstrate the performance of our algorithms numerically by applying them to some linearly and logarithmically convergent sequences as well as some divergent series.